DevOps and cloud diagram templates — CI/CD pipelines, Kubernetes architectures, deployment flows, GitOps, and monitoring stacks for modern infrastructure.
7 templates
Visualize code flowing from commit through build, test, and automated deployment stages
Show the Kubernetes control plane and worker node components and how they connect
Map the Git-driven deployment loop where a repo is the source of truth for infrastructure
Show how metrics, logs, and alerts flow from services into dashboards and on-call paging
Map independent services linked by an API gateway, message bus, and per-service data stores
Show a typical AWS web app stack from CloudFront and ALB to compute, RDS, and S3
Guide on-call engineers from alert detection through severity triage to resolution and review
DevOps and cloud diagrams show how code becomes a running service and how that service stays healthy. They cover CI/CD pipelines from commit to production, Kubernetes control planes and workloads, and GitOps reconciliation loops. They also cover cloud network layouts and the metrics, logs, traces and alerts behind on-call.
Platform engineers, SREs, DevOps engineers and cloud architects use them to design delivery pipelines, plan migrations and onboard new engineers. Engineering managers use them in reviews to show where releases are gated and who gets paged. After an incident, a diagram of the deploy path or the alert routing helps the team see exactly where the gap was.
A good DevOps diagram shows environments and gates, not just tools. Readers should see where tests run, where an artifact is built once and promoted, where approval is required, and how a bad release is rolled back. Cloud diagrams should show network boundaries such as VPCs, public and private subnets, and availability zones. Observability diagrams should end at a person: the alert, the routing rule and the on-call rotation that responds.
Paste any of these into the AI diagram generator to get an editable, animated diagram in seconds.
Learn more: Decision tree examples, including incident severity